FDG-PET status following chemoradiotherapy provides high management impact and powerful prognostic stratification in oesophageal cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-07

AUTHORS

Cuong P. Duong, Rodney J. Hicks, LeAnn Weih, Elizabeth Drummond, Trevor Leong, Michael Michael, Robert J. S. Thomas

ABSTRACT

PURPOSE: The purpose of this study was to evaluate the impact of FDG-PET following chemoradiotherapy (CRT) on treatment planning and survival in patients with oesophageal cancer (OC). METHODS: Fifty-three consecutive OC patients had a post-treatment PET scan to evaluate tumour response to CRT prior to possible surgery. Baseline pre-CRT PET was performed in 33 patients. Prospectively recorded post-CRT management plans were compared with post-PET treatment. High impact was defined as a change in treatment intent or modality. Survival was analysed using the Kaplan-Meier product limit method and Cox proportional hazards regression model. RESULTS: After completion of CRT, 23/53 patients (43%) achieved complete metabolic response (CMR), as compared with only four (8%) with complete response on computed tomography. High PET impact was observed in 19 patients (36%). CMR was strongly predictive of survival (p<0.008) on multivariate analysis. CMR patients in whom resection was not performed had comparable survival to those (CMR and non-CMR) who underwent resection. CONCLUSION: The use of post-treatment FDG-PET for assessment of tumour response after CRT changed the clinical management of more than one-third of OC patients. CMR status as assessed by PET powerfully stratified prognosis. Even in the absence of a baseline study, normalisation of uptake at all sites of known tumoral involvement carries a good medium-term prognosis. More... »

PAGES

770-778

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00259-005-0040-z

DOI

http://dx.doi.org/10.1007/s00259-005-0040-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005438519

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16550384


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00259-005-0040-z'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00259-005-0040-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00259-005-0040-z'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00259-005-0040-z'


 

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